Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Document 8900818
Document related concepts
no text concepts found
Transcript
Universitas Psychologica ISSN: 1657-9267 [email protected] Pontificia Universidad Javeriana Colombia Romeo Delgado, Marina; Codina Mata, Núria; Yepes Baldó, Montserrat; Pestana Montesinos, José Vicente; Guardia Olmos, Joan Data mining and mall users profile Universitas Psychologica, vol. 12, núm. 1, enero-marzo, 2013, pp. 195-207 Pontificia Universidad Javeriana Bogotá, Colombia Available in: http://www.redalyc.org/articulo.oa?id=64728729018 Abstract Marketing scholars have suggested a need for more empirical research on consumer response to malls, in order to have a better understanding of the variables that explain the behavior of the consumers. The segmentation methodology CHAID (Chi-square automatic interaction detection) was used in order to identify the profiles of consumers with regard to their ac-tivities at malls, on the basis of socio-demographic variables and behavioral variables (how and with whom they go to the malls). A sample of 790 subjects answered an online questionnaire. The CHAID analysis of the results was used to identify the profiles of consumers with regard to their activities at malls. In the set of variables analyzed the transport used in order to go shopping and the frequency of visits to centers are the main predictors of behavior in malls. The results provide guidelines for the development of effective strategies to attract consumers to malls and retain them there. Keywords CHAID, Consumer behavior, data mining, malls. How to cite Complete issue More information about this article Journal's homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative
